Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47470
Title: Model-based stereo-visual tracking: Covariance analysis and tracking schemes
Authors: Ruiz-Alzola, Juan 
Alberola-López, Carlos
Corredera, Jose Ramón Casar
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Stereo vision
3D reconstruction covariance matrix
Moving light displays (MLDs)
Eigenanalysis
Kalman filter, et al
Issue Date: 2000
Publisher: 0165-1684
Journal: Signal Processing 
Abstract: This paper addresses the problem of target tracking in stereo images from two perspectives. Initially, we carry out an eigenanalysis of the covariance matrix of the reconstruction error for a simple but realistic case. The analysis gives insight into the problem and it also leads naturally to the second issue addressed in the paper, namely, the analysis and design of variations of the well-known Extended Kalman filter. These variations are a trade-off between performance and computational complexity. A deep study of the conditions under which every alternative works correctly is developed. Our conclusions are supported by a number of Monte Carlo simulations using the stereo scheme proposed in the first part of the paper. (C) 2000 Elsevier Science B.V. All rights reserved.
URI: http://hdl.handle.net/10553/47470
ISSN: 0165-1684
DOI: 10.1016/S0165-1684(99)00109-7
Source: Signal Processing[ISSN 0165-1684],v. 80, p. 23-43
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